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126
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ICPR
2008
IEEE
15 years 9 months ago
Support Vector Data Description for image categorization from Internet images
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
Xiaodong Yu, Daniel DeMenthon, David S. Doermann
116
Voted
ICRA
2005
IEEE
145views Robotics» more  ICRA 2005»
15 years 8 months ago
Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation
— This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information within a real sensor-based navigation system. The contribution...
Luis Montesano, Javier Minguez, Luis Montano
100
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AROBOTS
2008
104views more  AROBOTS 2008»
15 years 2 months ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano
ICCV
2005
IEEE
16 years 4 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes
PAMI
2008
250views more  PAMI 2008»
15 years 2 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman